On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

26 February 2021

Papers citing "On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning"

25 / 25 papers shown

Title
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice Damian Machlanski Spyridon Samothrakis Paul Clarke CML 36 1 0 27 Oct 2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback Hang Wang Sen Lin Junshan Zhang 21 19 0 20 Jun 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 16 3 0 17 Mar 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 33 8 0 09 Mar 2023
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning Juan Marcelo Parra Ullauri Chen Zhen A. García-Domínguez Nelly Bencomo Changgang Zheng Juan Boubeta-Puig Guadalupe Ortiz Shufan Yang OffRL 16 0 0 09 Mar 2023
A Simple Decentralized Cross-Entropy Method Zichen Zhang Jun Jin Martin Jägersand Jun Luo Dale Schuurmans 13 8 0 16 Dec 2022
Learning Modular Robot Locomotion from Demonstrations Julian Whitman Howie Choset 29 1 0 31 Oct 2022
Learning Modular Robot Visual-motor Locomotion Policies Julian Whitman Howie Choset 26 1 0 31 Oct 2022
Defining and Characterizing Reward Hacking Joar Skalse Nikolaus H. R. Howe Dmitrii Krasheninnikov David M. Krueger 59 56 0 27 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 62 1 0 19 Sep 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 50 101 0 19 Jun 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 25 11 0 21 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 31 4 0 20 May 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 19 27 0 17 Mar 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 21 0 0 01 Feb 2022
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis Ishrak Jahan Ratul Ummay Habiba Wani M. M. Nishat Abdullah Al-Monsur Abrar Mohammad Ar-Rafi Fahim Faisal Mohammad Ridwan Kabir 17 13 0 22 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 30 9 0 24 Nov 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 48 350 0 24 Jun 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 28 46 0 20 Apr 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 27 30 0 01 Jan 2021
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 45 0 23 Aug 2020